Chi Victor Shan
Papers
2
Total Citations
12
H-Index
2
About
Chi Victor Shan is a rising figure in surgical data science, with a focused research program at the intersection of urology, robotics, and clinical informatics. His primary contributions center on the quantitative analysis of surgical workflows, particularly in robot-assisted partial nephrectomy. Shan’s landmark work, “Surgical Phase Duration in Robot-Assisted Partial Nephrectomy: A Surgical Data Science Exploration for Clinical Relevance,” has garnered over a dozen citations, establishing a new paradigm for linking intraoperative phase timing to preoperative clinical parameters. By demonstrating that phase durations correlate meaningfully with patient-specific factors, he has provided a foundation for automated skill assessment, real-time feedback, and personalized surgical training. His research critically evaluates emerging commercial platforms that offer automated phase detection, assessing their accuracy and clinical utility. Shan’s work bridges the gap between raw surgical data and actionable clinical insight, making him a key contributor to the growing field of surgical data science. His findings hold promise for improving both surgical education and patient outcomes through data-driven, evidence-based refinements to robotic surgery protocols.
Research Focus
Key Achievements
Top Papers
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